Data Engineer (Data Acquisition)

TikTok; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading tech company in Singapore is seeking a skilled Data Engineer to tackle big data challenges. This role involves designing and maintaining data pipelines, ensuring data integrity, and collaborating with cross-functional teams. The ideal candidate has over 3 years of experience, is proficient in Python and SQL, and has hands-on experience with big data technologies like Apache Spark and Hadoop. This position offers unique opportunities for growth in a dynamic, innovative environment.

Qualifications

• 3+ years of experience in data engineering with a track record of building large-scale data pipelines.
• Hands-on experience with data frameworks like Apache Spark, Hadoop, or Kafka.
• Proficient in creating ETL/ELT frameworks and understanding schema design.

Responsibilities

• Design and maintain robust data pipelines for processing and transforming large data volumes.
• Define technical strategies for data engineering projects aligned with business objectives.
• Ensure data governance and protect data integrity across systems.

Skills

Python

SQL

Apache Spark

Hadoop

Kafka

Data Visualization Tools

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Tableau

Power BI

Job description

Technology

Data Engineer (Data Acquisition)

Location
:

Singapore

Employment Type
:

Regular

Job Code
:

A55295A

Responsibilities

Team Intro
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. The Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role
As a Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility
1. Design, build, and maintain robust, scalable, and efficient data pipelines for ingesting, processing, and transforming large volumes of data to meet both immediate and long-term business needs.
2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;
3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;
4. Ensure data governance and quality, establishing processes to manage and protect the integrity of data across systems.
5. Translate business requirements into actionable data solutions, maintaining a strong understanding of business needs and using data to generate impactful insights for decision-making.
6. Support business intelligence efforts by designing and implementing data warehousing solutions and building interactive dashboards for real-time business analysis.

Qualifications

Minimum Qualification(s):
1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;
2. 3+ years of experience (or equivalent) in data engineering, with a strong track record of building and managing large-scale, production-grade data pipelines.
3. Proficiency in Python and SQL for data processing and automation; experience with Java or Scala is a plus.
4. Hands-on experience with big data frameworks such as Apache Spark, Hadoop, Kafka, or similar technologies. Experience in performance tuning and optimization of data pipelines and large-scale distributed systems.
5. Strong knowledge of database and data warehousing concepts, including star schema, dimensional modeling, ETL/ELT frameworks, and schema design.
6. Familiarity with data governance, data quality frameworks, and best practices in data validation, lineage, and metadata management.
7. Experience using data visualization tools such as Tableau, Power BI, or internal platforms to support business insights.

Preferred Qualification(s):
1. Familiarity with real-time data processing technologies such as Flink and others.
2. Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.



Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.



We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.





Diversity & Inclusion



TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.